Learn to handle complex data-sets and analyze your data in a principled way with Pandas. This course will teach you advanced parts of this library, including handling higher-dimensional data, time series, window operations, joins, and plotting.
At the core of practicing effective data science is a thorough knowledge of data analysis tools, and among them, Pandas is one of the most popular. In this course, Advanced Pandas, you will learn the skills you need to perform data analysis that is effective and full of useful insights. First, you will learn how to prepare your dataset for a smoother experience. Next, you will discover how to perform database-style joins, work with higher-dimensional data, analyze time series, and apply window operations. Finally, you will explore how to present the data by generating informative and appealing plots. When you’re finished with this course, you will have an advanced understanding of the Pandas library and the knowledge that will help you as you move forward and grow as a professional data scientist or analyst.
Paweł is a software engineer passionate about knowledge sharing. He's especially focused on processing and exploring data sets (be it big or small) and is always searching for emerging tools that will make working with data simpler in the future.
Course Overview Hi everyone. My name is Pawel Kordek, and welcome to my course, Advanced Pandas. I am a software engineer at Feedzai where I develop data processing applications to fight financial fraud. Nowadays, Python is getting more and more popular in the field of data analysis, and pandas is becoming the preferred library for many data scientists. In this course, we are going to explore non-trivial parts of pandas and learn how to use it in order to get full control over your datasets. Some of the major topics that we will cover include joins, handling multidimensional data, time series and windows, and plotting. By the end of this course, you will know how to handle complex datasets and analyze your data in a principled way with pandas. Before beginning the course, you should be familiar with Python and have basic experience with pandas, for example, from my course on Pandas Fundamentals. I hope you'll join me on this journey to learn pandas with the Advanced Pandas course, at Pluralsight.